Discrete vs. Continuous Random Variables

Discrete. Within a range of numbers, discrete
variables can take on only certain values.
Suppose, for
example, that we flip a coin and count the number of heads. The number
of heads will be a value between zero and plus infinity. Within that range,
though, the number of heads can be only certain values. For example, the number of
heads can only be a whole number, not a fraction. Therefore, the number
of heads is a discrete variable. And because the number of heads results
from a random process - flipping a coin - it is a discrete random variable.

Continuous. Continuous variables, in
contrast, can take on any value within a range of values.
For example, suppose we randomly select an individual from a population.
Then, we measure the age of that person. In theory, his/her age
can take on any value between zero and plus infinity, so age is a continuous
variable. In this example, the age of the person selected is determined by a chance event;
so, in this example, age is a continuous random variable.

Discrete Variables: Finite vs. Infinite

Some references state that continuous variables can
take on an infinite number of values, but discrete variables cannot. This
is incorrect.

In some cases, discrete variables can take
on only a finite number of values. For example, the number of aces
dealt in a poker hand can take on only five values: 0, 1, 2, 3, or 4.

In other cases, however, discrete variables can take on
an infinite number of values. For example, the number of coin flips
that result in heads could be infinitely large.

When comparing discrete and continuous variables, it is more correct to say
that continuous variables can always take on an infinite number of values;
whereas some discrete variables can take on an infinite number of values, but
others cannot.

Test Your Understanding

Problem 1

Which of the following is a discrete random variable?

I. The average height of a randomly selected group of boys.
II. The annual number of sweepstakes winners from New York City.
III. The number of presidential elections in the 20th century.

(A) I only
(B) II only
(C) III only
(D) I and II
(E) II and III

Solution

The correct answer is B.

The annual number of sweepstakes winners results from a random process,
but it can only be a whole number - not
a fraction;
so it is a discrete random variable. The average height of a randomly-selected group
of boys could take on any value between the height of the
smallest and tallest boys, so it is not a discrete variable.
And the number of presidential elections in the 20th century
does not result from a random process;
so it is not a random variable.